IPMSM-automatic-design

Pytorch implementation of an automatic design system for interior permanent magnet synchronous motors (https://ieeexplore.ieee.org/document/9896140)

Overview

This library contains a Pytorch implementation of an automatic design system for interior permanent magnet synchronous motors as presented in [1]

Dependencies

• python>=3.8
• torch>=1.6.0
• numpy
• pandas
• pillow

Architecture

data: You can download the dataset used for the paper here or here.
regression: A characteristics prediction model is implemented.
GAN: See https://github.com/lucidrains/lightweight-gan

Feedback

For questions and comments, feel free to contact Yuki Shimizu.

License

MIT

Citation

[1] Y. Shimizu, S. Morimoto, M. Sanada, and Y. Inoue, “Automatic Design System with Generative  
Adversarial Network and Convolutional Neural Network for Optimization Design of Interior  
Permanent Magnet Synchronous Motor,” IEEE Trans. Energy Convers., Vol. 38, No. 1, pp. 724-734, 2023.